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Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data collected by researchers and the evidence presented in the public health scientific literature. In this course, we will focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor through a linear equation. Along the way, you'll be introduced to a variety of methods and practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
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Associate Scientist, Biostatistics
Bloomberg School of Public Health
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